Senior Agentic AI Developer

Accenture • Washington, DC

61d • Onsite

About The Position

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company and part of global Accenture, to do work that matters in a collaborative and caring community, where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! We are seeking an experienced Senior Agentic AI Developer to design and deploy sophisticated agentic AI workflows and applications. This role requires full-stack development expertise, generative AI proficiency, and cloud engineering experience to architect autonomous AI systems using cutting-edge frameworks. You will:

Requirements

• 8+ years professional technical/software development experience
• 1+ years working Agentic AI Frameworks: AutoGen, CrewAI, LangChain, or ADK Model Context Protocol (MCP) implementation Retrieval-Augmented Generation (RAG) architectures
• 1+ years hands-on GenAI development experience& Prompt Engineering: Advanced prompt design and optimization
• 1+ year production experience with AWS Bedrock or Azure Copilot
• 2+ years' experience with AWS or Azure cloud engineering
• 2+ years Python programming experience
• 2+ years front-end development experience with React
• Active Top Secret clearance

Nice To Haves

• Systematic testing and evaluation methodologies
• Deep understanding of LLMs and their capabilities

Responsibilities

• Design and implement agentic AI workflows using AutoGen, CrewAI, LangChain, or an Agent Development Kit (ADK)
• Integrate Model Context Protocol (MCP) for seamless AI-system communication
• Develop, test, and refine advanced prompts using systematic engineering methodologies
• Build full-stack generative AI applications on AWS Bedrock or Azure
• Develop Python backend services and React front-end interfaces
• Design scalable cloud architectures leveraging AWS services
• Implement CI/CD pipelines for AI deployment and monitoring

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees